Triple

T12915420
Position Surface form Disambiguated ID Type / Status
Subject Ann Darrow E308967 entity
Predicate hasFullName P16 FINISHED
Object Ann Darrow E308967 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ann Darrow | Statement: [Ann Darrow, hasFullName, Ann Darrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Darrow
Context triple: [Ann Darrow, hasFullName, Ann Darrow]
  • A. Ann Darrow chosen
    Ann Darrow is the fictional leading lady and damsel-in-distress from the King Kong franchise, best known as the woman whom the giant ape becomes infatuated with.
  • B. Florence Cameron
    Florence Cameron is the daughter of former UK Prime Minister David Cameron and businesswoman Samantha Cameron.
  • C. Kate Reed
    Kate Reed is the sharp, idealistic former lawyer turned mediator at the center of the legal dramedy series "Fairly Legal."
  • D. Lucy Diamond Dawson
    Lucy Diamond Dawson is the young daughter of the intellectually disabled protagonist in the film "I Am Sam," whose custody battle forms the emotional core of the story.
  • E. Rose Allerton
    Rose Allerton was a member of the early 17th-century Allerton family associated with the Pilgrim settlers of Plymouth Colony.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a571a3e48190a32d362adc6eaee2 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.